Note: The job is a remote job and is open to candidates in USA. Lockheed Martin is a leader in innovation and technology, dedicated to solving complex challenges and ensuring safety. They are seeking an early career A/AI Machine Learning Engineer to lead the development and deployment of AI solutions that drive business value across the enterprise.
Responsibilities
- Head the AI Consulting portfolio
- Lead the development and deployment of AI solutions that drive business value and innovation across the Lockheed Martin enterprise
Skills
- Bachelor's Degree in Engineering, Computer Science from an accredited college in a related discipline, or equivalent experience
- Previous experience building machine learning models by way of work, projects, courses, etc
- Experience with developing software and software engineering best practices, specifically python
- Must have strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills
- Must be a US citizen
- Expertise in natural language processing
- Expertise applying deep learning, especially CNNs, RNNS, LSTMs, and reinforcement learning
- Experience with integration of data products into customer applications
- Experience with or knowledge of data engineering
- Experience with or knowledge of AWS or other cloud providers
- Experience with or expertise in manufacturing and/or engineering processes
- Story-telling and data visualization
- Proficiency in Python
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- EAP
- Education Assistance
- Parental Leave
- Paid time off
- Holidays
Company Overview
- Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin. It was founded in 1912, and is headquartered in Bethesda, Maryland, USA, with a workforce of 10001+ employees. Its website is https://www.lockheedmartin.com.
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